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Senior Full Stack Engineer

Build end-to-end features for AI data labeling platform using React/TypeScript frontend and Python/Django backend. Own product decisions, APIs, performance, and collaborate with PM/Design on complex workflows. Requires senior full-stack experience and strong product sense.

140k – 200kUnited StatesFullstack EngineeringRemote

About the role

Responsibilities

  • Build full-stack features: React/TypeScript on the client; Django/REST services, data models, and background jobs on the server.
  • Own outcomes, not tasks: refine scope, suggest trade-offs, propose simpler approaches, and land increments that deliver value fast.
  • Design clean API contracts and evolve schemas/migrations; improve performance and reliability (query tuning, caching, job orchestration).
  • Partner with Product & Design from discovery to delivery: clarify user jobs, write lightweight RFCs/PRDs, and shape scope and milestones.
  • Keep UIs accessible and responsive; add solid error-handling and failure-mode UX.
  • Raise engineering standards: testing strategy, code quality, observability hooks, resilience patterns.
  • Partner with Support to investigate production issues, reduce UX papercuts, and turn learnings into fixes.
  • Engage with our open-source community (issues, discussions) to understand real-world needs and improve developer experience.
  • Participate in architecture discussions and code reviews; mentor teammates and improve patterns across the codebase.

Requirements

  • Senior-level experience shipping production full-stack features (React/TypeScript + Python/Django + SQL).
  • Strong product sense: you’ve made scope/trade-off decisions and iterated based on real-world usage and feedback.
  • Fluency with modern FE tooling (e.g., Vite/Webpack, Jest/Cypress) and state-management patterns.
  • Backend depth: REST API design, relational modeling, migrations, performance tuning, and background job patterns.
  • Excellent communication at a Senior IC level—you write clear RFCs/PRDs, give actionable reviews, and present trade-offs well.

Nice to Have

  • GraphQL familiarity; Kafka/queues/streaming; Spark/BigQuery; auth/RBAC; multi-tenant SaaS; design-system experience.

Compensation

  • Base cash compensation range: $140,000 to $200,000 USD.

Skills

ReactTypeScriptPythonDjangoSQLRestPostgresRedisKubernetesAWSJestCypressBigQuerySparkKafka

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